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(Circulation. 2006;114:2251-2260.)
© 2006 American Heart Association, Inc.
Imaging |
From the Cardiac MR PET CT Program and Department of Radiology (U.H., F.M., A.P., M.F., R.C.C., J.B., S.A., J.H.W., T.J.B.), Department of Emergency Medicine (J.T.N., D.F.B., A.M.), and Cardiology Division (C.U.C.), Massachusetts General Hospital and Harvard Medical School, and Harvard School of Public Health (U.H., F.M.), Boston, Mass; and Cardiology Division, University of Erlangen, Germany (S.A.).
Correspondence to Udo Hoffmann, MD, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 165 Charles River Plaza, Ste 400, Boston, MA 02114. E-mail uhoffman{at}partners.org
Received April 20, 2006; revision received September 25, 2006; accepted September 29, 2006.
Background Noninvasive assessment of coronary atherosclerotic plaque and significant stenosis by coronary multidetector computed tomography (MDCT) may improve early and accurate triage of patients presenting with acute chest pain to the emergency department.
Methods and Results We conducted a blinded, prospective study in patients presenting with acute chest pain to the emergency department between May and July 2005 who were admitted to the hospital to rule out acute coronary syndrome (ACS) with no ischemic ECG changes and negative initial biomarkers. Contrast-enhanced 64-slice MDCT coronary angiography was performed immediately before admission, and data sets were evaluated for the presence of coronary atherosclerotic plaque and significant coronary artery stenosis. All providers were blinded to MDCT results. An expert panel, blinded to the MDCT data, determined the presence or absence of ACS on the basis of all data accrued during the index hospitalization and 5-month follow-up. Among 103 consecutive patients (40% female; mean age, 54±12 years), 14 patients had ACS. Both the absence of significant coronary artery stenosis (73 of 103 patients) and nonsignificant coronary atherosclerotic plaque (41 of 103 patients) accurately predicted the absence of ACS (negative predictive values, 100%). Multivariate logistic regression analyses demonstrated that adding the extent of plaque significantly improved the initial models containing only traditional risk factors or clinical estimates of the probability of ACS (c statistic, 0.73 to 0.89 and 0.61 to 0.86, respectively).
Conclusions Noninvasive assessment of coronary artery disease by MDCT has good performance characteristics for ruling out ACS in subjects presenting with possible myocardial ischemia to the emergency department and may be useful for improving early triage.
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